利用基于物联网平台的数据分析完成远程化学反应

A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini
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引用次数: 0

摘要

在当今世界,化学工业和生化工厂处理危险的化学反应。通过观察不同的参数以及引用不同的样品进行分析来完成反应的进行/完成。这个正常的程序冗长、费时、繁琐。提出了一种利用物联网平台精确估计远程化学反应终点的新方法。该过程包括监控不同的参数,如压力、体积的变化,并使用物联网和机器学习技术分析数据,以准确地找到位置的终点。在实验室真空条件下,在硝酸介质中添加高锰酸钾氧化草酸,并观察了真空度随时间和体积的变化。通过使用压力传感器观察压力值,并通过Wi-Fi模块将其传递到云端,可以准确估计反应的终点。数据使用机器学习技术进行分析,一旦曲线变平意味着达到了终点。数据将向物联网设备发送警报,表明反应已经完成,并且电路将自动停止进一步工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform
In today’s world Chemical industries and biochemical plants deal with hazardous chemical reactions. The progression of the reaction / completion of the reaction are done by observation of different parameters as well as aliquoting different samples for analysis. This normal procedure is tedious, time consuming and cumbersome. A novel method has been developed to accurately estimate the end point of chemical reaction in remote locations using Internet of Things (IoT) platform. The procedure involves monitoring different parameters like changes in pressure, volume and analyzing the data to find accurately the end point of locations using IOT and Machine learning techniques. A simple reaction involving oxidation of oxalic acid with incremental addition of potassium permanganate in nitric acid medium was carried out in lab scale under vacuum and the drop in vacuum was observed with time and volume. The end point of the reaction was accurately estimated by observing the pressure values using a pressure sensor and passing it to the cloud through the Wi-Fi module. Data is analyzed using machine learning techniques and once the curve flattens means the end point is reached. The data sends an alert to the IoT device that the reaction is completed as well as the circuit is automatically stopped in further functioning.
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